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Record W2529323143 · doi:10.2118/0915-0038-jpt

E&P Notes (September 2015)

2015· article· en· W2529323143 on OpenAlexaboutno aff
Jack Betz, Stephen Rassenfoss, Trent Jacobs

Bibliographic record

VenueJournal of Petroleum Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipCurriculumPetroleumEngineeringManagementGeologyPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

E&P Notes Grant Helps University Expand Undergraduate Curriculum Jack Betz, JPT Staff Writer Numerical models have been used by the oil and gas industry for more than a decade to simulate the mechanical properties of rock, yet many universities only require undergraduate petroleum engineering students to take one or two geology classes, according to a professor at Missouri University of Science and Technology. In an effort to change this culture, Missouri S&T, with help from Chevron, became the first US university to offer mechanical earth modeling (MEM) classes at the undergraduate level in 2008. This year, Chevron created a doctoral scholarship position to assist Missouri S&T in expanding the MEM curriculum initiative to other university partners. So far, Pennsylvania State University and Louisiana State University have both expressed interest. Testing Heavy Oil Production Without Steam Heating Stephen Rassenfoss, JPT Emerging Technology Senior Editor A new device that heats thick oil sands crude with radio waves is being used for the first time in a production well in western Canada. Rather than pumping steam into a well to reduce the viscosity of oil as thick as peanut butter, the new method combines an electromagnetic heating element and a solvent to mobilize the crude at a much lower temperature. Suncor Energy is leading the four-company group doing the pilot with support from the province of Alberta, which is backing projects developing affordable ways to reduce emissions from oil sands operations. The pilot began by heating the well using a specially created antenna from Harris Energy Solutions. The US defense contractor used what it has learned to reduce the heat emitted by military communication devices in a totally different way. In a previous test, the device was used to warm the oil sands around a drilled shaft in the wall of an open-pit mine. It was able to heat the oil sands deposit to the required temperature. For the pilot, a solvent will be added when the reservoir reaches the required temperature to see if the combination will perform as well as expected. Inaugural Challenge Generates New Proppant Ideas Jack Betz, JPT Staff Writer A Canadian company has developed a lightweight polymer that can grow to a predetermined size when submerged in water. Although it is capable of swelling up to 10 times its original volume, the polymer’s growth can be “programmed” ahead of time to prevent blocking of production pathways if used as a proppant, said Sumitra Rajagopalan, founder and chief executive officer of Bioastra Technologies. The material is also slightly pliable in its enlarged state, allowing it to bear compressive forces without becoming brittle and crushing. Rajagopalan’s company makes smart materials, meaning that they change their properties based on external cues such as voltage or temperature. It sells many of its products to the biomedical industry. The company recently became interested in researching oil and gas applications through its participation in the first GE Statoil Open Innovation Challenge. Entrants were asked to find ways to reduce or replace the use of sand in hydraulic fracturing. Bioastra was one of five winners. Another winning contestant, University of North Dakota researcher John Hurley, focused his efforts on creating a lightweight ceramic proppant that can be manufactured from raw materials available in the Williston basin, instead of relying on shipments from other states. Refracturing With Expandable Steel: A Stronger Alternative to Chemical Diverters? Trent Jacobs, JPT Senior Technology Writer Enventure Global Technology is working to convince operators that its solid expandable steel liners perform better than chemical diverter agents for refracturing operations. Its technology is called the ESeal ReFrac Liner. Jerry Fritsch, global lead technical advisor at Enventure, said the key to a successful refracture depends on the operator’s ability to seal off the old perforations. Using expandable steel instead of a diverting agent, the company believes operators will have a much higher degree of certainty that they are stimulating new rock during the refracture. “The real dilemma with trying to refrac with diverters right now is that there is just no control” of where the fracturing fluids will go, he said. However, if an expandable liner is run into the well instead of a diverting agent, then the operator carries out each individual fracture treatment much like when the well was originally completed. Once the old perforations are isolated, “you put a plug in there, you back up, and you perf,” Fritsch added.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.303
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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